Introduction
For the making of this report, it was given a dataset with data of pacients of the Hospital Austral who had suffered from heart diseases and where treated there with a surgery or an angioplasty. So, the goal of this report is trying to predict the neccesary intervention a future pacient may need.
Analysis
In this section, we are going to analyze the different factors and variables that may be used to take into account in the predictor.
Percentage of Men and Women and age distribution for each one
Given the dataset, we thought it was imperative to start analyzing the percentage of men and women present in the registry. Even though, the difference of sex do not tend to be a factor primarily to take into account in the predictor, it could be good to show the difference and see whether we have to use it.
On the other hand, it could be relevant to check and analyze the difference of age between men and women. With this density graph, it is easy to contrast the age and each sex.
Age for COPD, Obesity, Diabetes and Dialysis
Percentage of people who go for angioplasty, surgery or endovalvula
Percentage of reasons of admission per procedure
Interpretation
We interpretate the graphs with crossed variables
Number of pacients with factors of risk
Male
Female
